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Triglyceride-Glucose Index Predicts Future Atherosclerotic Cardiovascular Diseases: A 16-Year Follow-up in a Prospective, Community-Dwelling Cohort Study
DC Field | Value | Language |
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dc.contributor.author | Moon, JH | - |
dc.contributor.author | Kim, Y | - |
dc.contributor.author | Oh, TJ | - |
dc.contributor.author | Moon, JH | - |
dc.contributor.author | Kwak, SH | - |
dc.contributor.author | Park, KS | - |
dc.contributor.author | Jang, HC | - |
dc.contributor.author | Choi, SH | - |
dc.contributor.author | Cho, NH | - |
dc.date.accessioned | 2023-10-24T07:46:16Z | - |
dc.date.available | 2023-10-24T07:46:16Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 2093-596X | - |
dc.identifier.uri | http://repository.ajou.ac.kr/handle/201003/26416 | - |
dc.description.abstract | Background: While the triglyceride-glucose (TyG) index is a measure of insulin resistance, its association with cardiovascular disease (CVD) has not been well elucidated. We evaluated the TyG index for prediction of CVDs in a prospective large community-based cohort. Methods: Individuals 40 to 70 years old were prospectively followed for a median 15.6 years. The TyG index was calculated as the Ln [fasting triglycerides (mg/dL)×fasting glucose (mg/dL)/2]. CVDs included any acute myocardial infarction, coronary artery disease or cerebrovascular disease. We used a Cox proportional hazards model to estimate CVD risks according to quartiles of the TyG index and plotted the receiver operating characteristics curve for the incident CVD. Results: Among 8,511 subjects (age 51.9±8.8 years; 47.5% males), 931 (10.9%) had incident CVDs during the follow-up. After adjustment for age, sex, body mass index, diabetes mellitus, hypertension, total cholesterol, smoking, alcohol, exercise, and C-reactive protein, subjects in the highest TyG quartile had 36% increased risk of incident CVD compared with the lowest TyG quartile (hazard ratio, 1.36; 95% confidence interval, 1.10 to 1.68). Carotid plaque, assessed by ultrasonography was more frequent in subjects in the higher quartile of TyG index (P for trend=0.049 in men and P for trend <0.001 in women). The TyG index had a higher predictive power for CVDs than the homeostasis model assessment of insulin resistance (HOMA-IR) (area under the curve, 0.578 for TyG and 0.543 for HOMA-IR). Adding TyG index on diabetes or hypertension alone gave sounder predictability for CVDs. Conclusion: The TyG index is independently associated with future CVDs in 16 years of follow-up in large, prospective Korean cohort. | - |
dc.language.iso | en | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Atherosclerosis | - |
dc.subject.MESH | Blood Glucose | - |
dc.subject.MESH | Cardiovascular Diseases | - |
dc.subject.MESH | Cohort Studies | - |
dc.subject.MESH | Diabetes Mellitus | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Follow-Up Studies | - |
dc.subject.MESH | Glucose | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Hypertension | - |
dc.subject.MESH | Independent Living | - |
dc.subject.MESH | Insulin Resistance | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Prospective Studies | - |
dc.subject.MESH | Triglycerides | - |
dc.title | Triglyceride-Glucose Index Predicts Future Atherosclerotic Cardiovascular Diseases: A 16-Year Follow-up in a Prospective, Community-Dwelling Cohort Study | - |
dc.type | Article | - |
dc.identifier.pmid | 37533176 | - |
dc.identifier.url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475965 | - |
dc.subject.keyword | Atherosclerosis | - |
dc.subject.keyword | Cardiovascular diseases | - |
dc.subject.keyword | Glucose | - |
dc.subject.keyword | Insulin resistance | - |
dc.subject.keyword | Mortality | - |
dc.subject.keyword | Risk factors | - |
dc.subject.keyword | Triglycerides | - |
dc.contributor.affiliatedAuthor | Cho, NH | - |
dc.type.local | Journal Papers | - |
dc.identifier.doi | 10.3803/EnM.2023.1703 | - |
dc.citation.title | Endocrinology and metabolism (Seoul, Korea) | - |
dc.citation.volume | 38 | - |
dc.citation.number | 4 | - |
dc.citation.date | 2023 | - |
dc.citation.startPage | 406 | - |
dc.citation.endPage | 417 | - |
dc.identifier.bibliographicCitation | Endocrinology and metabolism (Seoul, Korea), 38(4). : 406-417, 2023 | - |
dc.identifier.eissn | 2093-5978 | - |
dc.relation.journalid | J02093596X | - |
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